Hilary Kornblith presents an account of inductive inference that addresses both its metaphysical and epistemological aspects. He argues that inductive knowledge is possible by virtue of the fit between our innate psychological capacities and the causal structure of the world. Kornblith begins by developing an account of natural kinds that has its origins in John Locke's work on real and nominal essences. In Kornblith's view, a natural kind is a stable cluster of properties that are bound together in nature. The existence of such kinds serves as a natural ground of inductive inference.Kornblith then examines two features of human psychology that explain how knowledge of natural kinds is attained. First, our concepts are structured innately in a way that presupposes the existence of natural kinds. Second, our native inferential tendencies tend to provide us with accurate beliefs about the world when applied to environments that are populated by natural kinds.

In this landmark work on early conceptual and lexical development, Ellen Markman challenges the fundamental assumptions of traditional theories of language acquisition and proposes a new notion of how children acquire categories.

In An Aristotelian Account of Induction Groarke discusses the intellectual process through which we access the "first principles" of human thought - the most basic concepts, the laws of logic, the universal claims of science and metaphysics, and the deepest moral truths. Following Aristotle and others, Groarke situates the first stirrings of human understanding in a creative capacity for discernment that precedes knowledge, even logic. Relying on a new historical study of philosophical theories of inductive reasoning from Aristotle to the twenty-first century, Groarke explains how Aristotle offers a viable solution to the so-called problem of induction, while offering new contributions to contemporary accounts of reasoning and argument and challenging the conventional wisdom about induction.

Philosophers have traditionally used conceptual analysis to investigate knowledge. Hilary Kornblith argues that this is misguided: it is not the concept of knowledge that we should be investigating, but knowledge itself, a robust natural phenomenon, suitable for scientific study. Cognitive ethologists not only attribute intentional states to non-human animals, they also speak of such animals as having knowledge; and this talk of knowledge does causal and explanatory work withintheir theories. The account of knowledge which emerges from this literature is a version of reliabilism: knowledge is reliably produced true belief.This account of knowledge is not meant merely to provide an elucidation of an important scientific category. Rather, Kornblith argues that knowledge, in this very sense, is what philosophers have been talking about all along. Rival accounts are examined in detail and it is argued that they are inadequate to the phenomenon of knowledge (even of human knowledge).One traditional objection to this sort of naturalistic approach to epistemology is that, in providing a descriptive account of the nature of important epistemic categories, it must inevitably deprive these categories of their normative force. But Kornblith argues that a proper account of epistemic normativity flows directly from the account of knowledge which is found in cognitive ethology. Knowledge may be properly understood as a real feature of the world which makes normative demands uponus.This controversial and refreshingly original book offers philosophers a new way to do epistemology.

"The inaugural title in the new, Open Access series BSPS Open, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference. The fundamental burden of a theory of inductive inference is to determine which are the good inductive inferences or relations of inductive support and why it is that they are so. The traditional approach is modeled on that taken in accounts of deductive inference. It seeks universally applicable schemas or rules or a single formal device, such as the probability calculus. After millennia of halting efforts, none of these approaches has been unequivocally successful and debates between approaches persist. The Material Theory of Induction identifies the source of these enduring problems in the assumption taken at the outset: that inductive inference can be accommodated by a single formal account with universal applicability. Instead, it argues that that there is no single, universally applicable formal account. Rather, each domain has an inductive logic native to it. Which that is, and its extent, is determined by the facts prevailing in that domain. Paying close attention to how inductive inference is conducted in science and copiously illustrated with real-world examples, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference."--

This handbook provides both an overview of state-of-the-art scholarship in philosophy of science, as well as a guide to new directions in the discipline. Section I contains broad overviews of the main lines of research and the state of established knowledge in six principal areas of the discipline, including computational, physical, biological, psychological and social sciences, as well as general philosophy of science. Section II covers what are considered to be the traditional topics in the philosophy of science, such as causation, probability, models, ethics and values, and explanation. Section III identifies new areas of investigation that show promise of becoming important areas of research, including the philosophy of astronomy and astrophysics, data, complexity theory, neuroscience, simulations, post-Kuhnian philosophy, post-empiricist epistemology, and emergence. Most chapters are accessible to scientifically educated non-philosophers as well as to professional philosophers, and the contributors - all leading researchers in their field -- bring diverse perspectives from the North American, European, and Australasian research communities. This volume is an essential resource for scholars and students.

A recent poll revealed that one in four Americans believe in both creationism and evolution, while another 41% believe that creationism is true and evolution is false. A minority (only 13%) believe only in evolution. Given the widespread resistance to the idea that humans and other animals have evolved and given the attention to the ongoing debate of what should be taught in public schools, issues related to the teaching and learning of evolution are quite timely. Evolution Challenges: Integrating Research and Practice in Teaching and Learning about Evolution goes beyond the science versus religion dispute to ask why evolution is so often rejected as a legitimate scientific fact, focusing on a wide range of cognitive, socio-cultural, and motivational factors that make concepts such as evolution difficult to grasp. The volume brings together researchers with diverse backgrounds in cognitive development and education to examine children's and adults' thinking, learning, and motivation, and how aspects of representational and symbolic knowledge influence learning about evolution. The book is organized around three main challenges inherent in teaching and learning evolutionary concepts: folk theories and conceptual biases, motivational and epistemological biases, and educational aspects in both formal and informal settings. Commentaries across the three main themes tie the book together thematically, and contributors provide ideas for future research and methods for improving the manner in which evolutionary concepts are conveyed in the classroom and in informal learning experiences. Evolution Challenges is a unique text that extends far beyond the traditional evolution debate and is an invaluable resource to researchers in cognitive development, science education and the philosophy of science, science teachers, and exhibit and curriculum developers.